Excellence in Research Award
Sanjeev Gour
Medicaps University
Sanjeev Gour is affiliated with Medicaps University, India, and is associated with academic work in the field of Machine Learning. His research profile includes scholarly publications indexed through Scopus, with reported research indicators of 11 documents, 189 citations, and an h-index of 4. The Excellence in Research Award category of the Indian Scientist Awards provides a framework for recognizing sustained academic activity, research output, and contributions within a defined field of study. [1] [2]
Abstract
This article presents an academic overview of Sanjeev Gour and his research profile in Machine Learning in relation to consideration for the Excellence in Research Award at the Indian Scientist Awards. The profile reflects scholarly activity represented by 11 indexed documents, 189 reported citations, and an h-index of 4. These indicators provide a quantitative perspective on publication activity and scholarly visibility, while the broader assessment of research excellence also depends on originality, methodological relevance, subject-specific contribution, and the continuing development of academic work. [1] [3]
Keywords
Machine Learning; Artificial Intelligence; Computational Research; Data Analysis; Academic Publications; Research Impact; Citation Analysis; Indian Scientist Awards; Excellence in Research Award.
Introduction
Machine Learning is an interdisciplinary research area concerned with computational methods that enable systems to identify patterns, learn from data, and support analytical or predictive tasks. The field draws upon concepts from computer science, statistics, mathematics, and domain-specific applications. Research contributions may involve the development of algorithms, comparative evaluation of computational methods, data-driven modelling, and the application of learning techniques to practical problems. [3]
Academic recognition in this area commonly considers a combination of research productivity, publication quality, citation evidence, originality, institutional engagement, and the relevance of research outcomes. Bibliometric indicators can provide one component of this assessment, although numerical measures are generally interpreted alongside qualitative evidence concerning the nature and significance of individual research contributions. [4]
Research Profile
Sanjeev Gour is affiliated with Medicaps University in India and is associated with research activity in Machine Learning. The available Scopus profile linked to this article identifies the researcher through Scopus Author ID 57188766110 and provides a basis for reviewing indexed publication and citation information. [1]
The reported profile metrics include 11 documents, 189 citations, and an h-index of 4. Such indicators describe aspects of publication output and citation accumulation within the indexed record. They should be understood as descriptive bibliometric measures rather than as complete measures of scientific quality, because citation patterns can vary across disciplines, publication periods, databases, and research communities. [1] [4]
Research Contributions
The research profile is situated within Machine Learning, a field in which scholarly contributions may include the design and evaluation of computational models, the analysis of data, the study of predictive methods, and the adaptation of learning-based approaches to domain-specific challenges. The indexed publication record provides evidence of continued scholarly participation and forms a documented basis for assessing research activity. [1]
- Research activity associated with Machine Learning and computational methods.
- Scholarly publication output represented through indexed documents.
- Citation evidence demonstrating engagement with published research.
- Academic association with Medicaps University and the broader research community.
Research in Machine Learning is frequently assessed through reproducibility, methodological clarity, comparative evaluation, and the suitability of models for the problem being investigated. Consequently, an academic profile may be evaluated not only according to the volume of publications but also according to the contribution of individual studies to knowledge development and practical application. [3]
Publications
The publication record associated with the linked Scopus profile reports 11 indexed documents. Publication data may be used to examine research continuity, subject distribution, collaboration patterns, and the development of scholarly interests over time. Detailed bibliographic records can be reviewed through the external Scopus profile for article-level information. [1]
- Indexed research documents provide a structured record of scholarly output within bibliographic databases.
- Citation information enables an examination of how published work has been referenced by subsequent scholarship.
- Publication-level details, including source information and available DOI records, should be verified directly through the relevant bibliographic or publisher records.
Where individual publications include Digital Object Identifiers, DOI records provide persistent links to the corresponding scholarly works. DOI resolution follows the standard persistent identifier framework administered through DOI infrastructure and can support reliable access to publication metadata and publisher-hosted content. [5]
Research Impact
The reported citation count of 189 and h-index of 4 provide measurable indicators of the visibility of the indexed publication record. Citation metrics are commonly used in research assessment as supplementary evidence of scholarly reach, but their interpretation requires consideration of disciplinary conventions, publication age, database coverage, and the characteristics of individual research areas. [1] [4]
A balanced evaluation of research impact may therefore consider quantitative indicators together with qualitative evidence, including the originality of research questions, methodological quality, contribution to knowledge, interdisciplinary relevance, and potential academic or societal application. This approach supports a broader understanding of excellence than any single numerical metric alone. [4]
Award Suitability
Based on the available academic information, Sanjeev Gour’s profile presents documented research activity in Machine Learning, supported by indexed publications and citation records. These elements are relevant to consideration for an Excellence in Research Award, particularly when assessed together with the originality, quality, relevance, and continuity of the underlying scholarly work. [1] [2]
- Documented publication activity in the stated subject area.
- Evidence of citation-based scholarly visibility.
- Association with an academic institution and research environment.
- A research profile that may be reviewed using both quantitative and qualitative assessment criteria.
Final award suitability is appropriately determined through the evaluation procedures, eligibility requirements, and review criteria established by the organizing body. The information presented here is intended as an academic profile summary based on the supplied researcher data and linked scholarly resources. [2]
Conclusion
Sanjeev Gour’s academic profile at Medicaps University reflects research engagement in Machine Learning, with a reported record of 11 Scopus-indexed documents, 189 citations, and an h-index of 4. These indicators provide evidence of scholarly activity and form one part of a broader assessment of research contribution. In the context of the Indian Scientist Awards, the Excellence in Research Award category may consider such documented output alongside research quality, originality, subject relevance, and the continuing development of academic contributions. [1] [2]
External Links
References
- Scopus. “Author Profile: Sanjeev Gour, Scopus Author ID 57188766110.
https://www.scopus.com/pages/authors/57188766110.
- Impact of machine learning on management, healthcare and agriculture
https://www.sciencedirect.com/science/article/abs/pii/S221478532104894X
- Multitask learning for security and privacy in IoV (Internet of Vehicles)
https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119871989.ch12
- Impact of Machine Learning Techniques in Medical Treatment Assistance in Perspective to AR & VR Technologies
https://www.e3s-conferences.org/articles/e3sconf/abs/2024/21/e3sconf_icecs2024_03006/e3sconf_icecs2024_03006.html
- Impact and use of AI tools in teaching and learning in higher education: a case study in perspective to the new education policy of India
https://eksplorium.com/index.php/journal/article/view/58